| dc.description.abstract | This paper will show how we can implement algorithms for face detection and recognition in image
processing to build a system that will detect and recognize frontal faces of students in a classroom.
“A face is the front part of a person’s head from the forehead to the chin, or the corresponding part
of an animal”. In human interactions, the face is the most important factor as it contains important
information about a person or individual. All humans have the ability to recognize individuals from
their faces. The proposed solution is to develop a working prototype of a system that will facilitate
class control for Kingston University lecturers in a classroom by detecting the frontal faces of
students from a picture taken in a classroom. The second part of the system will also be able to
perform a facial recognition against a small database. In recent years, research has been carried out
and face recognition and detection systems have been developed. Some of which are used on social
media platforms, banking apps, government offices e.g., the Metropolitan Police, Facebook etc. | en_US |
